226 search results - page 28 / 46 » Nonlinear Nonnegative Component Analysis |
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
The desirable asymptotic optimality properties of the maximum likelihood (ML) estimator make it an attractive solution for performing independent component analysis (ICA) as well....
COST
2009
Springer
14 years 1 months ago
2009
Springer
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced by Huang. It is a completely datadriven non-linear method for the decomposition of a sign...
ICPR
2008
IEEE
14 years 10 months ago
2008
IEEE
Speaker independent feature extraction is a critical problem in speech recognition. Oriented principal component analysis (OPCA) is a potential solution that can find a subspace r...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
ICPR
2006
IEEE
14 years 10 months ago
2006
IEEE
1 A kernel determines the inductive bias of a learning algorithm on a specific data set, and it is beneficial to design specific kernel for a given data set. In this work, we propo...